to index:
Mat samples;
samples.create(rowSize, featSize, CV_32FC1);
putFeatures( fileName, featSize, trainSamples);
flann::Index flann_index( trainSamples, cv::flann::KMeansIndexParams( 32, 11, cvflann::CENTERS_KMEANSPP, 0.2));
flann_index.save( indexFile);
to read sparse data format:
while( fgets( buff, sizeof(buff), file) != NULL){
first = strtok(buff, " ");
second = strtok(NULL, " ");
do{
third = strtok(NULL, " ");
if( third != NULL){
length = strlen( third);
indexOfCol = strcspn ( third, keys);
if( indexOfCol < length){
indexStr = strndup(third, indexOfCol);
valueStr = strndup(third+indexOfCol+1, length);
mat.at( rowIndex, atoi( indexStr)-1) = atof( valueStr);
}
}
}while( third!=NULL);
rowIndex++;
}
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